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Results are filtered to show all matching articles from a particular category, and to show only articles that match all selected categories.

For instance, if "Biomarkers" and "Genetics" are selected in the Topic category, and "Multiple sclerosis" is selected in the Disease category, all results that match EITHER the Biomarkers OR Genetics Topic category will be shown, but only if they also match the Multiple sclerosis Disease category; i.e. Boolean search of [("Biomarkers" OR "Genetics") AND "multiple sclerosis"]

FTD Variant Alters Chromatin, Boosts Expression of TMEM106b

Like mysterious signals emanating from the vastness of genomic space, some variations rise above the din of genome-wide association studies (GWAS). For most of these statistical blips, scientists can only guess how they influence disease. Now, Alice Chen-Plotkin at the University of Pennsylvania in Philadelphia and colleagues may have a solid explanation for one them, a single-nucleotide polymorphism near the TMEM106b gene. Several SNPs near the gene correlate with higher odds of getting frontotemporal dementia, but which ones directly increase those odds, or just lie near other variants that do, has been unclear. Reporting in the American Journal of Human Genetics on October 19, the researchers narrowed the list of variants down to one—rs1990620 (Gallagher et al., 2017). Lying near a well-documented FTD GWAS variant, rs1990620 boosts expression of TMEM106b, not of any other gene, in the brain and in immune cells.

Looping You In.Tucked into one of five CTCF binding sites, the rs1990620 risk allele (blue) brings an enhancer (yellow) close to the promoter (black) of the TMEM106b gene. [Courtesy of Gallagher et al., 2017, American Journal of Human Genetics, 2017.]

The authors zeroed in on the mechanism, too, reporting that the SNP strengthens the binding of CTCF, a modulator of chromatin architecture. Strikingly, they also found an enrichment for CTCF binding sites abutting GWAS hits for other neurodegenerative diseases, hinting that the architectural mechanism could be a broad one.

Back in 2010, an SNP in a noncoding region of chromosome 7q21 was found to increase the risk of frontotemporal dementia 1.6-fold (see Feb 2010 news; Van Deerlin et al., 2010). Multiple studies have since replicated the association, and found further associations between the SNP and other factors related to disease and aging, such as progranulin expression (Aug 2012 news). Chen-Plotkin and others pinned the association to TMEM106b, a gene involved in lysosomal degradation (see Jul 2017 news; Lang et al., 2012; Brady et al., 2013). However, attempts to pinpoint which variants exert their influence on TMEM106b, and how they do so, have yielded conflicting results. Some researchers blamed a variant within exon 6 of the TMEM106b, while others failed to replicate that (see Sep 2014, Feb 2015 news; Jun et al., 2015; Nicholson et al., 2013).

First author Michael Gallagher and colleagues sought to nail down how FTD variations at chromosome 7q21 influenced TMEM106b expression. They started by tapping the Genotype-Tissue Expression (GTEx) project, which maps how genetic variations influence gene expression in 44 human tissues (see Oct 2017 news). They found that the 7q21 SNP initially linked to FTD, the “sentinel” SNP, significantly associated with increased expression of TMEM106b in several tissues, including the hippocampus and nucleus accumbens in the brain, as well as the spleen and lymphoblast cell lines (LCLs). Notably, levels of no other transcript significantly associated with this variation.

If only this simple one-to-one association could explain everything. Instead, the researchers found that dozens of other SNPs in this 36kB locus also associated with TMEM106b expression. To tease out the causal variant(s) from those that were just along for the ride, the researchers turned to ENCODE, a project that maps regulatory elements within noncoding regions of the genome in different cell types, as well as to the NIH Roadmap EpiGenome Project, which similarly maps epigenetic modifications (see Feb 2015 news). They found that of 84 SNPs at the TMEM106b locus that could potentially regulate TMEM106b expression, only three landed in regions with potential regulatory activity. All three were binding sites for the mammalian chromatin organizing protein CTCF. According to chromatin immunoprecipitation sequencing (CHIP-Seq) maps from ENCODE, these three SNP sites bound CTCF in neuronal, glial, and lymphoblast cell lines.

The three SNPs, which include the sentinel, lay within perfect linkage disequilibrium with each other, meaning they are always co-inherited. This clue drove the researchers to the bench to tease out the functional culprit. Ultimately, they found that the minor, risk-associated A allele of rs1990620, located just downstream of the TMEM106b gene, bound to CTCF preferentially compared to the major, non-risk allele. Alleles of the two other SNPs, including the sentinel, bound CTCF equally well.

Going up? CTCF binding at the SNP of the risk allele promoted a kind of looping of chromatin that juxtaposed TMEM106b promoter and enhancer regions, presumably ramping up expression of the gene [Courtesy of Gallagher et al., 2017, American Journal of Human Genetics, 2017.]

Clusters of CTCF binding sites are known to define neighborhoods of co-regulated genes. The researchers identified five such binding sites within the TMEM106b locus, including the one at rs1990620. CTCF binding at the SNP promoted a kind of looping of chromatin that juxtaposed TMEM106b promoter and enhancer regions, presumably ramping up expression of the gene.

The researchers propose that enhanced binding of CTCF to the risk allele would only slightly enhance expression of TMEM106b. Could a small difference have harmful effects? Expressing TMEM106b at varying levels in HeLa cells, ranging from two- to 20-fold over baseline, the researchers found that each incremental increase in TMEM106b expression acutely worsened the cells’ condition, enlarging their lysosomes and promoting cell death. Doubling TMEM106b tripled the number of cells with overstuffed vacuoles, and decreased survival by 20 percent. Chen-Plotkin told Alzforum that this data suggests that even modest increases in TMEM106b expression over decades could gradually derail proteostasis, and thus hasten neurodegenerative diseases such as frontotemporal dementia.

“Increased TMEM106B levels are known to be a risk factor for FTLD patients who have progranulin mutations,” commented Fenghua Hu of Cornell University in Ithaca, New York. “This is a really nice study illustrating that the TMEM106B risk allele interacts with the chromatin-organizing protein CTCF with higher affinity, and this increased binding leads to higher TMEM106B transcription levels from the risk allele,” Hu said.

Might genetic variations associated with other neurodegenerative diseases also fall within CTCF binding sites? To investigate, the researchers cross-referenced 200 published risk SNPs for FTD, amyotrophic lateral sclerosis, Alzheimer’s, and Parkinson’s with mapped CTCF binding sites in the brain. They found a 1.6-fold enrichment of disease SNPs or their closely linked variants at CTCF binding sites. Interestingly, they found a similar enrichment when they only looked at CTCF binding sites relevant to leukocyte cell types, rather than those specific to the brain. This indicated that white blood cells could serve as proxies for CTCF-mediated gene regulation in the brain.

“The findings suggest that CTCF-mediated architectural changes to chromatin could play an important role in many neurodegenerative diseases,” Chen-Plotkin said. She added that these chromatin-looping interactions mediated by CTCF should be considered along with other epigenetic modifications to promotors or enhancers.

Chen-Plotkin told Alzforum that of the more than 200 loci associated with neurodegenerative disease so far, only a small fraction have functional studies to back them up. This type of in-depth study is needed to pin down the mechanisms that drive disease associations, she said. This will allow researchers to zero in on therapeutic targets.

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Filter articles published since 2015 by topic, disease, or article type.

Guidlines for filtering

Results are filtered to show all matching articles from a particular category, and to show only articles that match all selected categories.

For instance, if "Biomarkers" and "Genetics" are selected in the Topic category, and "Multiple sclerosis" is selected in the Disease category, all results that match EITHER the Biomarkers OR Genetics Topic category will be shown, but only if they also match the Multiple sclerosis Disease category; i.e. Boolean search of [("Biomarkers" OR "Genetics") AND "multiple sclerosis"]